Abstract: Systems, methods, apparatuses, and computer readable media are disclosed for providing analytics for evaluating performance using real time data on movement and proximity of tagged objects. In one embodiment, a method is provided for evaluating a player that includes correlating at least one tag to the player; receiving blink data transmitted by the at least one tag; and determining tag location data based on the blink data. The method further includes receiving player role data; comparing the tag location data to player dynamics/kinetics models based at least in part on the player role data; determining player location data based on the comparing the tag location data to the player dynamics/kinetics models; and determining player performance information based on comparing the player location data to stored player location data.

Abstract: A system is provided for tracking an asset within a geographic area. The system includes an antenna mast supportable by, and extending upward from, an object configured to move or facilitate movement of the asset. The antenna mast is capable of supporting a plurality of wireless locating units of a plurality of geo-spatial positioning systems, which are configured to locate a respective one or more locating units, and thereby the asset, within the geographic area. The system also includes a controller positionable on the object and configured to control operation of the wireless locating units. The controller is further configured to direct transmission of data to a host via one of the locating units or another wireless transmitter, and in a manner that accounts for a wireless link between the respective locating unit or other wireless transmitter and the host.

Abstract: Provided herein are systems and computer readable media for associating environmental measurements with an individual using a plurality of sensors, a plurality of tags and a plurality of receivers disposed about a monitored area.

Abstract: An example for processing location information received from a radio frequency (RF) location tag includes determining a first location of a first RF location tag associated with an asset; determining at least one second location of at least one second RF location tag associated with the asset; determining, using a processor, that the first location is not a valid location based at least in part on a comparison of the first location with the at least one second location using a spatial association model associated with the asset; and identifying the first location as erroneous in response to determining that the first location is not a valid location.

Abstract: Systems, methods, apparatuses, and computer readable media are disclosed for determining events and outputting events based on real-time data for location and movement of objects and audio data. In one embodiment, a method is provided for a method of determining play events that at least includes receiving audio data, wherein the audio data is received from at least one of a memory or a sensor; determining an event probability based on comparing the audio data to an audio profile; and generating an event based on the event probability satisfying a predetermined threshold.

Abstract: An example disclosed method for registering an unregistered radio frequency (RF) location tag carried by a participant includes receiving blink data from an unregistered RF location tag; determining a tag location based on the blink data received from the unregistered RF location tag; directing a camera to view the tag location determined based on the blink data received from the unregistered RF location tag; identifying a participant at the tag location using image data obtained by the camera; and registering the unregistered RF location tag with the identified participant.

Abstract: Systems, methods, apparatuses, and computer readable media are disclosed for over-determining location estimations for an asset based on location estimates from a plurality of tags. Examples employ a spatial association model in a location system. Examples include a method for processing location information received from a radio frequency (RF) location tag. The method includes determining a first location of a first RF location tag associated with an asset, determining at least one second location of at least one second RF location tag associated with the asset, determining, using a processor, that the first location is not a valid location based at least in part on a comparison of the first location with the at least one second location using a spatial association model associated with the asset, and identifying the first location as erroneous in response to determining that the first location is not a valid location.

Abstract: Systems, methods, apparatuses, and computer readable media are disclosed for improving, in some examples, registration of radio frequency tags with a location system. Example embodiments may include a method for registering a participant with a radio frequency (RF) location tag. The method may include determining tag derived data from the one or more registered RF location tags, identifying at least one unregistered RF location tag, determining an identity of a participant for registration with the unregistered RF location tag based at least in part on the tag derived data from the one or more registered RF location tags, and registering the unregistered RF location tag with the participant.

Abstract: Systems, methods, apparatuses, and computer readable media are disclosed for determining events and outputting events based on real-time data for location and movement of objects and audio data. In one embodiment, a method is provided for a method of determining play events that at least includes receiving audio data, wherein the audio data is received from at least one of a memory or a sensor; determining an event probability based on comparing the audio data to an audio profile; and generating an event based on the event probability satisfying a predetermined threshold.

Abstract: Systems, methods, apparatuses, and computer readable media are disclosed for determining events and outputting events based on real-time data for location and movement of objects and audio data. In one embodiment, a method is provided for a method of determining play events that at least includes receiving audio data, wherein the audio data is received from at least one of a memory or a sensor; determining an event probability based on comparing the audio data to an audio profile; and generating an event based on the event probability satisfying a predetermined threshold.

Abstract: Systems and related methods providing for determining activities of individuals are discussed herein. Circuitry may be configured to wirelessly receive tag signals from a plurality of RF location tags. Two or more of the RF location tags may be positioned on an individual, such as at positions that may at least partially define a human frame. The circuitry may be configured to correlate the two or more RF location tags with the individual. Location data for each of the two or more RF location tags may be determined based on the received tag signals. An activity of the individual may be determined based on the location data. In some embodiments, one or more activities involving multiple individuals may be determined based on RF location tags and sensors positioned on each of the multiple individuals. Furthermore, sensor data from the sensors may be communicated over the UWB channel.

Abstract: Systems and related methods providing for determining activities of individuals are discussed herein. Circuitry may be configured to wirelessly receive tag signals from a plurality of RF location tags. Two or more of the RF location tags may be positioned on an individual, such as at positions that may at least partially define a human frame. The circuitry may be configured to correlate the two or more RF location tags with the individual. Location data for each of the two or more RF location tags may be determined based on the received tag signals. An activity of the individual may be determined based on the location data. In some embodiments, one or more activities involving multiple individuals may be determined based on RF location tags and sensors positioned on each of the multiple individuals. Furthermore, sensor data from the sensors may be communicated over the UWB channel.

Abstract: Provided herein are systems and computer readable media for associating environmental measurements with an individual using a plurality of sensors, a plurality of tags and a plurality of receivers disposed about a monitored area.

Abstract: A wireless local area network (WLAN) includes a server and receiver in communication with the server as a network client. A plurality of radio frequency (RF) front-end circuits are each configured for receiving wireless signals from mobile nodes within the WLAN along an allocated channel specific for a front-end circuit. A plurality of baseband processors each specific to an allocated channel are connected to a respective front-end circuit for the allocated channel and capture a desired signal specific to the allocated channel. A system controller is connected to each baseband processor for configuring each baseband processor and processing the desired signal and obtaining message data and signal metrics for each allocated channel that are communicated to the server.

Abstract: An example disclosed system for locating a signal source includes a receiver; and a plurality of node devices, wherein the receiver includes processing circuitry configured to perform operations including generating signal timing information including one or more pulses corresponding to a correlation with one or more frequencies based on each of a plurality of wireless signal streams, each of the wireless signal streams including a signal of interest; applying times and one or more determined gains for the signal of interest to permit estimate of a phase of the received signal; obtaining, from a memory device that stores the wireless signal streams, symbols of the signal of interest based on window periods associated with the pulses; formatting the symbols; and determining time-of-arrival information based on the formatted symbols.

Abstract: Example embodiments are directed to various aspects of processing received signals for determining a location of a source of the signals. An example method may include generating signal timing information, and determining times for a plurality of window periods for the signal of interest based on the signal timing information. The example method may also include retrieving, from a memory device that stores the signal stream, symbols of the signal of interest based on the window periods, and formatting the symbols of the signal of interest in preparation for determining a location of a source of the signal of interest. Additional and alternative methods and apparatuses are also provided.

Abstract: Embodiments of the present invention provide methods, apparatuses, and computer program products directed to generating event visualizations based on location data. In one example, a method for providing enhanced event visualizations based on location data is provided which includes receiving, by a visualizations processor, play diagram data from a play model database and receiving location data during a play period for a plurality of participants. The method further includes determining a selected play based on comparing the location data to the play diagram data and determining an actual route for one or more participants of the plurality of participants based on the location data. The method further includes generating, by the visualization processor, an accuracy visualization interface by comparing the actual route for each of the one or more participants to the selected play.

Abstract: Systems, methods, apparatuses, and computer readable media are disclosed for over-determining location estimations for an asset based on location estimates from a plurality of tags. Examples employ a spatial association model in a location system. Examples include a method for processing location information received from a radio frequency (RF) location tag. The method includes determining a first location of a first RF location tag associated with an asset, determining at least one second location of at least one second RF location tag associated with the asset, determining, using a processor, that the first location is not a valid location based at least in part on a comparison of the first location with the at least one second location using a spatial association model associated with the asset, and identifying the first location as erroneous in response to determining that the first location is not a valid location.

Abstract: Systems, methods, apparatuses, and computer readable media are disclosed for providing analytics using real time data on movement and proximity of tagged objects for determining play models and outputting events. In one embodiment, a method is provided for determining play data that at least includes correlating at least one tag to a participant; receiving blink data transmitted by the at least one tag; and determining tag location data based on the blink data. The method further includes receiving participant role data; comparing the tag location data to participant dynamics/kinetics models based at least in part on the participant role data; determining participant location data based on the comparing the tag location data to the participant dynamics/kinetics models.

Abstract: Systems, methods, apparatuses, and computer readable media are disclosed for providing analytics using real time data on movement and proximity of tagged objects for determining play models and outputting events. In one embodiment, a method is provided for determining play data that at least includes correlating at least one tag to a participant; receiving blink data transmitted by the at least one tag; and determining tag location data based on the blink data. The method further includes receiving participant role data; comparing the tag location data to participant dynamics/kinetics models based at least in part on the participant role data; determining participant location data based on the comparing the tag location data to the participant dynamics/kinetics models.